Sign up to save your podcasts
Or
Share Mathematical Reasoning in Large Language Models: Are They Really Thinking?
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Mathematical Reasoning in Large Language Models: Are They Really Thinking?
In this episode, we dive into the mathematical reasoning abilities of large language models (LLMs). Do they truly understand math, or are they simply pattern-matching?
We'll explore the latest benchmarks, GSM-Symbolic and GSM-NoOp, uncovering the surprising limitations in LLMs’ logical processing—and what this means for their future development.
- Paper: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Hosted on Acast. See acast.com/privacy for more information.
View all episodes
By Alessio PiovesanIn this episode, we dive into the mathematical reasoning abilities of large language models (LLMs). Do they truly understand math, or are they simply pattern-matching?
We'll explore the latest benchmarks, GSM-Symbolic and GSM-NoOp, uncovering the surprising limitations in LLMs’ logical processing—and what this means for their future development.
- Paper: GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Hosted on Acast. See acast.com/privacy for more information.